Coactive AI

Overview
News
Data Infrastructure & Analytics?
Product stageSegments
Early
?
Visualization and insight tools, GenAI-based Data Infrastructure & Analytics platforms
?

Coactive AI is a visual data analytics platform that enables companies to derive insights from unstructured image and video data. It helps enterprises generate structure for their unstructured visual content and integrate it into existing data tools and workflows. Coactive's platform utilizes machine learning models to index and embed raw visual files, allowing users to search, query, and analyze this content at scale. Its proprietary active learning system enables customers to define domain-specific concepts with minimal manual effort, overcoming the limitations of traditional computer vision models. 

The platform works by allowing enterprises to upload raw images or videos through an API or secure data lake connection, after which it automatically embeds and indexes the data with limited manual supervision. Coactive's image search API and SQL interface enable users to query and analyze the indexed data. The platform uses active learning techniques to define domain-specific concepts with fewer labels, potentially reducing the time and effort required for data annotation and classification. Coactive's visual analytics features assist analysts in identifying patterns and extracting insights from large datasets, while the UI SDK supports the conversion of visual data insights into actionable information. The platform's API and Python SDKs allow users to monitor and interpret their visual data continuously.

In July 2024, the company launched a beta version of Dynamic Tags, a feature that uses multimodal AI to automatically categorize and classify video content. Dynamic Tags, which are customizable labels for moods, activities, and more, work by analyzing video snapshots and matching them with user-defined tags. Coactive highlights the benefits of rapid classification without manual tagging, no-code model tuning, and the flexibility to tailor tags to specific needs. Potential uses include creating cut sheets, assigning advertisement tags, personalizing content recommendations, and enhancing metadata for better search and asset management.

HQ location:
60 South Market Street Suite 760 San Jose CA USA
Founded year:
2021
Employees:
11-50
IPO status:
Private
Total funding:
USD 44.0 mn
Last Funding:
USD 30.0 mn (Series B; May 2024)
Last valuation:
USD 200.0 mn (May 2024)
Key competitors
 
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Company profile
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